FULL STACK ENGINEERING APPRENTICE

STATION F; Paris; Hybride; EUR 12 000 - 18 000; Plein temps

Résumé du poste

Symbiose, a venture-backed deeptech company, seeks a Full Stack Engineering Apprentice for its Alternance program in Paris. You will work with senior engineers, remote sensing specialists, and data scientists to build production-ready backend and frontend components of the Symbiose Platform.

You will collaborate across geospatial, ML, and data pipelines, increasing responsibility as you learn, while contributing to real-world environmental intelligence solutions.

Qualifications

• Currently pursuing or recently completed a degree in Computer Science or Software Engineering.
• Hands-on experience in full-stack development (academic or personal projects).
• Familiar with JavaScript/TypeScript and modern frontend frameworks (React preferred).
• Basic understanding of APIs and databases.
• Exposure to SQL; PostgreSQL is a plus.
• Comfortable working in English in a technical environment.

Responsabilités

• Contribute to backend and frontend development under guidance.
• Assist in integrating geospatial, remote sensing, or ML outputs into APIs and web applications.
• Participate in the development and maintenance of data pipelines and ETL workflows.
• Help build and improve web interfaces using React and TypeScript.
• Support the integration of geospatial visualization tools (Mapbox GL or similar).
• Write clean, well-documented, and tested code.
• Participate in code reviews, QA testing, and agile development cycles.

Connaissances

Full stack development

React

TypeScript

APIs

Databases

PostgreSQL

English

Formation

Currently pursuing or recently completed a degree in Computer Science / Software Engineering

Outils

Docker

Kubernetes

Cloud platforms

Git

Geospatial libraries

Description du poste

About

Symbiose is a venture-backed deeptech company at the crossroads of space-tech and nature-tech, pioneering the use of AI, remote sensing, and High-Performance Computing (HPC) to transform how forests are monitored, managed, and valued. By fusing diverse Earth Observation data, from hyperspectral, LiDAR, radar, and optical imagery, Symbiose delivers precise, real-time insights into forest health, carbon dynamics, and climate resilience. Our AI-driven platform empowers forest owners, investors, and insurers with actionable intelligence to accelerate FSC certification, enhance transparency, and drive a nature-positive economy.

Our Mission Is Simple But Ambitious

Make forest data actionable to protect biodiversity, enhance carbon capture, and make sustainable forestry the new norm.

Why join us?

At Symbiose, you’ll join a passionate team working at the intersection of AI for good and climate innovation. You’ll have the freedom to experiment, the space to grow, and a direct impact on how forests are managed globally.

Purpose-driven mission

Your work contributes directly to forest conservation and climate resilience.

Deep tech + impact

Applied AI, geospatial analytics, and environmental modeling.

Collaborative culture

Open-minded, curious, and committed to real-world change.

Based at Station F

Europe’s largest startup campus, surrounded by top innovators.

What we’re looking for

We’re always on the lookout for bold thinkers and builders, people who thrive at the frontier of technology and ecology. Whether your background is in machine learning, remote sensing, data engineering, forestry, or business development, if you care about the planet and cutting-edge innovation, you’ll fit right in.

Job Description

Role Overview

We are looking for a Full Stack Engineering Apprentice to contribute to the development of the Symbiose Platform, our customer-facing application that brings deep environmental intelligence to users. As part of an alternance program, you will work alongside senior engineers, remote sensing specialists, and data scientists to combine academic learning with hands‑on experience on production systems. You will contribute to both backend and frontend components of the platform, progressively increasing your level of responsibility as your skills develop. You will be supported and mentored while progressively taking ownership of well‑scoped technical tasks, contributing directly to production features. Together, we will transform cutting‑edge research into real-world, user‑ready solutions.

Key Responsibilities

• Contribute to backend and frontend development under the guidance of senior engineers.


• Assist in integrating geospatial, remote sensing, or ML outputs into APIs and web applications.


• Participate in the development and maintenance of data pipelines and ETL workflows.


• Help build and improve web interfaces using React and TypeScript.


• Support the integration of geospatial visualization tools (e.g. Mapbox GL or equivalent).


• Write clean, well‑documented, and tested code.


• Participate in code reviews, QA testing, and agile development cycles.


• Learn and apply best practices in cloud-native and scalable software development.

Preferred Experience

• Currently pursuing or recently completed a degree in Computer Science, Software Engineering, Data Engineering, or a related field.


• First hands‑on experience (academic or personal projects) in full stack development


• Familiarity with JavaScript / TypeScript and modern frontend frameworks (React preferred).


• Basic understanding of backend development concepts (APIs, databases).


• Exposure to SQL and relational databases (PostgreSQL is a plus).


• Comfortable working in English in a technical environment.

Nice to Have

• Experience with Python.


• Interest in geospatial data, remote sensing, or climate tech.


• Familiarity with Docker, cloud platforms, or Kubernetes (even at a basic level).


• Experience with maps, data visualization, or geospatial libraries.


• Personal projects, GitHub repositories, or open-source contributions.

Soft Skills

• Curious and eager to learn in a fast‑paced technical environment.


• Structured, detail-oriented, and motivated to write quality code


• Proactive mindset and willingness to ask questions.


• Strong team spirit and interest in interdisciplinary challenges.

Recruitment Process

• Step 1: 30-minute screening call with our People team


• Step 2: Take‑home case study


• Step 3: Feedback & culture‑fit interview


• Step 4: Onboarding at Station F

We’re a fast-moving startup —> the whole process takes no more than two weeks!

Additional Information

• Contract Type: Apprenticeship (Between 6 and 12 months)


• Start Date: 01 January 2026


• Location: Paris
  
• Possible partial remote